Pandas Profiling Report

Dataset statistics

Number of variables	9
Number of observations	767
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	54.1 KiB
Average record size in memory	72.2 B

Variable types

Numeric	8
Categorical	1

Warnings

Pregnancies has 111 (14.5%) zeros Zeros

Reproduction

Analysis started	2021-04-20 06:07:48.861831
Analysis finished	2021-04-20 06:08:07.556386
Duration	18.69 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

Pregnancies
Real number (ℝ_≥0)

ZEROS

Distinct	17
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.848761408
Minimum	0
Maximum	17
Zeros	111
Zeros (%)	14.5%
Memory size	6.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	6
95-th percentile	10
Maximum	17
Range	17
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.370207423
Coefficient of variation (CV)	0.8756602619
Kurtosis	0.1563476434
Mean	3.848761408
Median Absolute Deviation (MAD)	2
Skewness	0.8998253832
Sum	2952
Variance	11.35829807
Monotocity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
1	134	17.5%
0	111	14.5%
2	103	13.4%
3	75	9.8%
4	68	8.9%
5	57	7.4%
6	50	6.5%
7	45	5.9%
8	38	5.0%
9	28	3.7%
Other values (7)	58	7.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	111	14.5%
1	134	17.5%
2	103	13.4%
3	75	9.8%
4	68	8.9%

Value	Count	Frequency (%)
17	1	0.1%
15	1	0.1%
14	2	0.3%
13	10	1.3%
12	9	1.2%

Glucose
Real number (ℝ_≥0)

Distinct	136
Distinct (%)	17.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	121.7192366
Minimum	44
Maximum	199
Zeros	0
Zeros (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	44
5-th percentile	80
Q1	100
median	117
Q3	140.5
95-th percentile	181
Maximum	199
Range	155
Interquartile range (IQR)	40.5

Descriptive statistics

Standard deviation	30.43821062
Coefficient of variation (CV)	0.2500690232
Kurtosis	-0.2596951528
Mean	121.7192366
Median Absolute Deviation (MAD)	20
Skewness	0.5311836305
Sum	93358.6545
Variance	926.4846655
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	17	2.2%
100	17	2.2%
129	14	1.8%
106	14	1.8%
125	14	1.8%
111	14	1.8%
108	13	1.7%
95	13	1.7%
112	13	1.7%
102	13	1.7%
Other values (126)	625	81.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
44	1	0.1%
56	1	0.1%
57	2	0.3%
61	1	0.1%
62	1	0.1%

Value	Count	Frequency (%)
199	1	0.1%
198	1	0.1%
197	4	0.5%
196	3	0.4%
195	2	0.3%

BloodPressure
Real number (ℝ_≥0)

Distinct	47
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	72.25769307
Minimum	24
Maximum	122
Zeros	0
Zeros (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	24
5-th percentile	52
Q1	64
median	72
Q3	80
95-th percentile	90
Maximum	122
Range	98
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	12.12357736
Coefficient of variation (CV)	0.1677825135
Kurtosis	1.074110209
Mean	72.25769307
Median Absolute Deviation (MAD)	8
Skewness	0.1722404697
Sum	55421.65059
Variance	146.981128
Monotocity	Not monotonic

Histogram with fixed size bins (bins=47)

Value	Count	Frequency (%)
70	56	7.3%
74	52	6.8%
78	45	5.9%
68	45	5.9%
72	44	5.7%
64	43	5.6%
80	40	5.2%
76	39	5.1%
60	37	4.8%
69.10430248	35	4.6%
Other values (37)	331	43.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
24	1	0.1%
30	2	0.3%
38	1	0.1%
40	1	0.1%
44	4	0.5%

Value	Count	Frequency (%)
122	1	0.1%
114	1	0.1%
110	3	0.4%
108	2	0.3%
106	3	0.4%

SkinThickness
Real number (ℝ_≥0)

Distinct	51
Distinct (%)	6.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	26.59671352
Minimum	7
Maximum	99
Zeros	0
Zeros (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	7
5-th percentile	14.3
Q1	20.52281617
median	23
Q3	32
95-th percentile	44
Maximum	99
Range	92
Interquartile range (IQR)	11.47718383

Descriptive statistics

Standard deviation	9.638762095
Coefficient of variation (CV)	0.362404253
Kurtosis	3.897513402
Mean	26.59671352
Median Absolute Deviation (MAD)	5
Skewness	1.22782446
Sum	20399.67927
Variance	92.90573472
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20.52281617	227	29.6%
32	31	4.0%
30	27	3.5%
27	23	3.0%
23	22	2.9%
18	20	2.6%
28	20	2.6%
33	20	2.6%
31	18	2.3%
39	18	2.3%
Other values (41)	341	44.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7	2	0.3%
8	2	0.3%
10	5	0.7%
11	6	0.8%
12	7	0.9%

Value	Count	Frequency (%)
99	1	0.1%
63	1	0.1%
60	1	0.1%
56	1	0.1%
54	2	0.3%

Insulin
Real number (ℝ_≥0)

Distinct	186
Distinct (%)	24.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	118.7614251
Minimum	14
Maximum	846
Zeros	0
Zeros (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	14
5-th percentile	50
Q1	79.90352021
median	79.90352021
Q3	127.5
95-th percentile	293
Maximum	846
Range	832
Interquartile range (IQR)	47.59647979

Descriptive statistics

Standard deviation	93.10934221
Coefficient of variation (CV)	0.7840032413
Kurtosis	14.1282867
Mean	118.7614251
Median Absolute Deviation (MAD)	3.096479791
Skewness	3.290164681
Sum	91090.01304
Variance	8669.349607
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
79.90352021	373	48.6%
105	11	1.4%
130	9	1.2%
140	9	1.2%
120	8	1.0%
94	7	0.9%
180	7	0.9%
100	7	0.9%
110	6	0.8%
135	6	0.8%
Other values (176)	324	42.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
14	1	0.1%
15	1	0.1%
16	1	0.1%
18	2	0.3%
22	1	0.1%

Value	Count	Frequency (%)
846	1	0.1%
744	1	0.1%
680	1	0.1%
600	1	0.1%
579	1	0.1%

BMI
Real number (ℝ_≥0)

Distinct	248
Distinct (%)	32.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	32.45350873
Minimum	18.2
Maximum	67.1
Zeros	0
Zeros (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	18.2
5-th percentile	22.23
Q1	27.5
median	32
Q3	36.6
95-th percentile	44.41
Maximum	67.1
Range	48.9
Interquartile range (IQR)	9.1

Descriptive statistics

Standard deviation	6.879458326
Coefficient of variation (CV)	0.2119788767
Kurtosis	0.9161725942
Mean	32.45350873
Median Absolute Deviation (MAD)	4.5
Skewness	0.5996711105
Sum	24891.8412
Variance	47.32694686
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
32	13	1.7%
31.2	12	1.6%
31.6	12	1.6%
31.9946545	11	1.4%
32.4	10	1.3%
33.3	10	1.3%
30.8	9	1.2%
32.8	9	1.2%
30.1	9	1.2%
32.9	9	1.2%
Other values (238)	663	86.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
18.2	3	0.4%
18.4	1	0.1%
19.1	1	0.1%
19.3	1	0.1%
19.4	1	0.1%

Value	Count	Frequency (%)
67.1	1	0.1%
59.4	1	0.1%
57.3	1	0.1%
55	1	0.1%
53.2	1	0.1%

DiabetesPedigreeFunction
Real number (ℝ_≥0)

Distinct	517
Distinct (%)	67.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.4720808344
Minimum	0.078
Maximum	2.42
Zeros	0
Zeros (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	0.078
5-th percentile	0.1403
Q1	0.2435
median	0.374
Q3	0.6265
95-th percentile	1.1333
Maximum	2.42
Range	2.342
Interquartile range (IQR)	0.383

Descriptive statistics

Standard deviation	0.3314962775
Coefficient of variation (CV)	0.702202363
Kurtosis	5.584011879
Mean	0.4720808344
Median Absolute Deviation (MAD)	0.169
Skewness	1.917791098
Sum	362.086
Variance	0.109889782
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.258	6	0.8%
0.254	6	0.8%
0.259	5	0.7%
0.207	5	0.7%
0.238	5	0.7%
0.261	5	0.7%
0.268	5	0.7%
0.245	4	0.5%
0.304	4	0.5%
0.197	4	0.5%
Other values (507)	718	93.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.078	1	0.1%
0.084	1	0.1%
0.085	2	0.3%
0.088	2	0.3%
0.089	1	0.1%

Value	Count	Frequency (%)
2.42	1	0.1%
2.329	1	0.1%
2.288	1	0.1%
2.137	1	0.1%
1.893	1	0.1%

Age
Real number (ℝ_≥0)

Distinct	52
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	33.25423729
Minimum	21
Maximum	81
Zeros	0
Zeros (%)	0.0%
Memory size	6.1 KiB

Quantile statistics

Minimum	21
5-th percentile	21
Q1	24
median	29
Q3	41
95-th percentile	58
Maximum	81
Range	60
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	11.76207916
Coefficient of variation (CV)	0.3537016669
Kurtosis	0.6397407766
Mean	33.25423729
Median Absolute Deviation (MAD)	7
Skewness	1.127991799
Sum	25506
Variance	138.3465062
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22	72	9.4%
21	63	8.2%
25	48	6.3%
24	46	6.0%
23	37	4.8%
28	35	4.6%
26	33	4.3%
27	32	4.2%
29	29	3.8%
31	24	3.1%
Other values (42)	348	45.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
21	63	8.2%
22	72	9.4%
23	37	4.8%
24	46	6.0%
25	48	6.3%

Value	Count	Frequency (%)
81	1	0.1%
72	1	0.1%
70	1	0.1%
69	2	0.3%
68	1	0.1%

Outcome
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	6.1 KiB

0	499
1	268

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	767
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Value	Count	Frequency (%)
0	499	65.1%
1	268	34.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	499	65.1%
1	268	34.9%

Most occurring characters

Value	Count	Frequency (%)
0	499	65.1%
1	268	34.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	767	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	499	65.1%
1	268	34.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	767	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	499	65.1%
1	268	34.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	767	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	499	65.1%
1	268	34.9%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Pregnancies	Glucose	BloodPressure	SkinThickness	Insulin	BMI	DiabetesPedigreeFunction	Age	Outcome
0	6	148.0	72.000000	35.000000	79.90352	33.600000	0.627	50	1
1	1	85.0	66.000000	29.000000	79.90352	26.600000	0.351	31	0
2	8	183.0	64.000000	20.522816	79.90352	23.300000	0.672	32	1
3	1	89.0	66.000000	23.000000	94.00000	28.100000	0.167	21	0
4	0	137.0	40.000000	35.000000	168.00000	43.100000	2.288	33	1
5	5	116.0	74.000000	20.522816	79.90352	25.600000	0.201	30	0
6	3	78.0	50.000000	32.000000	88.00000	31.000000	0.248	26	1
7	10	115.0	69.104302	20.522816	79.90352	35.300000	0.134	29	0
8	2	197.0	70.000000	45.000000	543.00000	30.500000	0.158	53	1
9	8	125.0	96.000000	20.522816	79.90352	31.994654	0.232	54	1

Last rows

	Pregnancies	Glucose	BloodPressure	SkinThickness	Insulin	BMI	DiabetesPedigreeFunction	Age	Outcome
757	0	123.0	72.0	20.522816	79.90352	36.3	0.258	52	1
758	1	106.0	76.0	20.522816	79.90352	37.5	0.197	26	0
759	6	190.0	92.0	20.522816	79.90352	35.5	0.278	66	1
760	2	88.0	58.0	26.000000	16.00000	28.4	0.766	22	0
761	9	170.0	74.0	31.000000	79.90352	44.0	0.403	43	1
762	9	89.0	62.0	20.522816	79.90352	22.5	0.142	33	0
763	10	101.0	76.0	48.000000	180.00000	32.9	0.171	63	0
764	2	122.0	70.0	27.000000	79.90352	36.8	0.340	27	0
765	5	121.0	72.0	23.000000	112.00000	26.2	0.245	30	0
766	1	126.0	60.0	20.522816	79.90352	30.1	0.349	47	1

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Missing values

Sample

First rows

Last rows